• DocumentCode
    3527545
  • Title

    Multiplexed model predictive control weighting selection using Genetic Algorithm

  • Author

    Joelianto, Endra ; Hernawan, Fikri M.

  • Author_Institution
    Bandung Inst. of Technol., Bandung, Indonesia
  • fYear
    2009
  • fDate
    23-25 Nov. 2009
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    This paper presents the application of genetic algorithm (GA) to find the optimal weighting of multiplexed model predictive control (MMPC). Using GA, the selection procedure can be done to ensure the best possible combination of the weighting parameters of MMPC. A bake plate system model controlled using MMPC is used to demonstrate the effect of the selected parameters using GA.
  • Keywords
    genetic algorithms; predictive control; bake plate system model; genetic algorithm; multiplexed model predictive control weighting selection; weighting parameter combination; Closed loop systems; Control systems; Cost function; Electronic mail; Genetic algorithms; Optimal control; Paper technology; Predictive control; Predictive models; Transient response; genetic algorithm; multiplexed model predictive control; optimal weighting; quadratic cost; transient response;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Instrumentation, Communications, Information Technology, and Biomedical Engineering (ICICI-BME), 2009 International Conference on
  • Conference_Location
    Bandung
  • Print_ISBN
    978-1-4244-4999-6
  • Electronic_ISBN
    978-1-4244-5000-8
  • Type

    conf

  • DOI
    10.1109/ICICI-BME.2009.5417217
  • Filename
    5417217
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3527545